resourceType:"ocw"
language:"English"
university_name:"Massachusetts Institute of Technology"
tags:" lps and sdps for approximating np-hard problems"
tags:" cheeger inequalities"
tags:" fritz john?s theorem"
tags:" lattices and basis reduction"
tags:" lps and sdps for approximating np-hard problems"
tags:" lattices and basis reduction"
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course covers a collection of geometric techniques that apply broadly in modern algorithm design.
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Tag(s):
- mathematics
- spectral graph theory
- iterative methods for linear algebra
- convex geometry
- lattices and basis reduction
- lps and sdps for approximating np-hard problems
- graph laplacians
- cheeger inequalities
- fritz john?s theorem
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